Abstract
When designing wearable systems to be used for physiological and biomechanical parameters monitoring, it is important to integrate sensors easy to use, comfortable to wear, and minimally obtrusive. Wearable systems include sensors for detecting physiological signs placed on-body without discomfort, and possibly with capability of real-time and continuous recording. The system should also be equipped with wireless communication to transmit signals, although sometimes it is opportune to extract locally relevant variables, which are transmitted when needed.
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- 1.
Centre Suisse d’Electronique et Microtechnique SA, CH.
- 2.
Biosensing textile for health management, FP6-IST-NMP-2-016789.
References
Paker O Low power digital signal processing. Citeseer
Piguet C (2003) Low-power systems on chips (SoCs). CMOS and BiCMOS VLSI De-sign’01. Advanced Digital Design, EPFL, Lausanne, Switzerland
Force T (1996) Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation 93(5):1043–1065
Karantonis DM, Narayanan MR, Mathie M, Lovell NH, Celler BG (2006) Implementation of a real-time human activity classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Trans Inform Technol Biomed 10(1):156–167
Renevey P, Vetter R, Celka P, Krauss J (2002) Activity classification using HMm for improvement of wrist located pulse detection. In: Proceedings of the Biosignal, vol 2002, pp 192–196
Brage S, Brage N, Franks PW, Ekelund U, Wareham NJ (2005) Reliability and validity of the combined heart rate and movement sensor actiheart. Eur J Clin Nutr 59:561–570
Brage S, Ekelund U, Brage N, Hennings MA, Froberg K, Franks PW, Wareham NJ (2007) Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity. J Appl Physiol 103:682–692
Curone D, Tognetti A, Secco EL, Anania G, Carbonaro N, De Rossi D, Magenes G (in press) Heart rate and accelerometer data fusion for activity assessment of rescuers during emergency interventions. IEEE Trans Inform Technol Biomed
Mattmann C, Clemens F, Troester G (2008) Sensor for measuring strain in textile. Sensors 8(6):3719
Inc V LifeShirt.[Online]. December 11, 2005
Jafari R, Encarnacao A, Zahoory A, Dabiri F, Noshadi H, Sarrafzadeh M (2005) Wireless sensor networks for health monitoring. In: Mobile and ubiquitous systems: Networking and services, 2005. The Second Annual International Conference on MobiQuitous 2005, pp 479–481
Sveistrup H (2004) Motor rehabilitation using virtual reality. J NeuroEng Rehabil 1(1):10
Baker R (2006) Gait analysis methods in rehabilitation. J NeuroEng Rehabil 3(1):4
Whittle M (2002) Gait analysis: an introduction. Butterworth, London
Menache A (2000) Understanding motion capture for computer animation and video games. Morgan Kaufmann, CA
Lorussi F, Scilingo EP, Tesconi M, Tognetti A, De Rossi D (2005) Strain sensing fabric for hand posture and gesture monitoring. IEEE Trans Inform Technol Biomed 9(3):372–381
Bouten CVC, Koekkoek KTM, Verduin M, Kodde R, Janssen JD (1997) A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Trans Biomed Eng 44(3):136–147
Van Laerhoven K, Schmidt A, Gellersen HW (2002) Multi-sensor context aware clothing. In: Proceedings of the Sixth International Symposium on Wearable Computers, pp 49–56
Luinge HJ (2002) Inertial sensing of human movement. Unpublished PhD, University of Twente, Enschede, the Netherlands
Roetenberg D, Luinge HJ, Baten CTM, Veltink PH (2005) Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation. IEEE Trans Neural Syst Rehabil Eng 13(3):395–405
Roetenberg D, Baten CTM, Veltink PH (2007) Estimating body segment orientation by applying inertial and magnetic sensing near ferromagnetic materials. IEEE Trans Neural Syst Rehabil Eng 15(3):469
Veltink PH, Bussmann HBJ, de Vries W, Martens WLJ, Van Lummel RC (1996) Detection of static and dynamic activities using uniaxial accelerometers. IEEE Trans Rehabil Eng 4(4):375–385
Busser HJ, De Korte WG, Glerum EBC, Van Lummel RC et al (1998) Method for objective assessment of physical work load at the workplace. Ergon Lond 41:1519–1526
Foerster F, Smeja M, Fahrenberg J (1999) Detection of posture and motion by accelerometry: a validation study in ambulatory monitoring. Comput Hum Behav 15(5):571–583
Uswatte G, Miltner WHR, Foo B, Varma M, Moran S, Taub E (2000) Objective measurement of functional upper-extremity movement using accelerometer recordings transformed with a threshold filter. Stroke 31(3):662
van den Bogert AJ, Read L, Nigg BM (1996) A method for inverse dynamic analysis using accelerometry. J Biomech 29(7):949–954
Baten CTM, Oosterhoff P, Kingma I, Veltink PH, Hermens HJ (1996) Inertial sensing in ambulatory load estimation. In: 18th annual International Conference of the IEEE-EMBS
Fisekovic N, Popovic DB (2001) New controller for functional electrical stimulation systems. Med Eng Phys 23(6):391–399
Willemsen ATM, Bloemhof F, Boom HBK (1990) Automatic stance-swing phase detection from accelerometer data for peroneal nerve stimulation. IEEE Trans Biomed Eng 37(12):1201–1208
Tong KY, Granat MH (1998) Virtual artificial sensor technique for functional electrical stimulation. Med Eng Phys 20(6):458–468
Lotters JC, Schipper J, Veltink PH, Olthuis W, Bergveld P (1998) Procedure for in-use calibration of triaxial accelerometers in medical applications. Sensor Actuator A Phys 68(1–3):221–228
Anania G, Tognetti A, Carbonaro N, Tesconi M, Cutolo F, Zupone G, De Rossi D (2008) Development of a novel algorithm for human fall detection using wearable sensors. 2008 IEEE Sensors, pp 1336–1339
Wade OL (1954) Movements of the thoracic cage and diaphragm in respiration. J Physiol 124(2):193
Mead J, Peterson N, Grimby G, Mead J (1967) Pulmonary ventilation measured from body surface movements. Science 156:1383–1384
Levine S, Silage D, Henson D, Wang JY, Krieg J, LaManca J, Levy S (1991) Use of a triaxial magnetometer for respiratory measurements. J Appl Physiol 70(5):2311
Peacock A, Gourlay A, Denison D (1985) Optical measurement of the change in trunk volume with breathing. Bulletin européen de physiopathologie respiratoire 21(2):125
Milledge JS, Stott FD (1977) Inductive plethysmography – a new respiratory transducer. J Physiol (Lond) 267:4P
de Geus EJC, Willemsen, GHM, Klaver CHAM, van Doornen LJP (1995) Ambulatory measurement of respiratory sinus arrhythmia and respiration rate. Biol Psychol 41(3):205–227
De Rossi D, Carpi F, Lorussi F, Mazzoldi A, Paradiso R, Scilingo EP, Tognetti A (2003) Electroactive fabrics and wearable biomonitoring devices. AUTEX Res J 3(4):180–185
Khalafalla AS, Stackhouse SP, Schmitt OH (1970) Thoracic impedance gradient with respect to breathing. IEEE Trans Biomed Eng 17(3):191
Fowles DC (1986) The eccrine system and electrodermal activity. Psychophysiol Syst Process Appl 1:51–96
Féré C (1888) Note sur les modifications de la résistance électrique sous l’influence des excitations sensorielles et des émotions. Comptes Rendus Société de Biologie 5:217–219
Tarchanoff J (1889) Décharges électriques dans la peau de lhomme sous linfluence de lexcitation des organes des sens et de différentes formes dactivité psychique. Comptes Rendus des séances de la Société de Biologie 41:441–451
47 cfr part 15. Federal Communications Law Journal (2002)
Edelberg R (1968) Biopotentials from the skin surface: The hydration effect. New York Acad Sci Ann 148:252–262
Webster JG (1997) Design of pulse oximeters. Taylor and Francis, London
Severinghaus JW, Kelleher JF (1992) Recent developments in pulse oximetry. Anesthesiology 76(6):1018
Agranovskii AV, Evreinov GE, Berg OY (2004) Monitoring of vital functions using contactless sensors. Biomed Eng 38(1):13–16
Varshney U (2009) Wireless Health Monitoring: State of the Art. 119–146. Springer, NY
Luzi G, Coppo P, Ferrazzoli P, Gagliani S, Mazzoni T (1995) Microwave radiometry as a tool for forest fires detection: Model analysis and preliminary experiments. In: Solimini D (ed) Microwave radiometry and remote sensing of the environment. VSP Press, Utrecht, p 411
Pasche S et al Smart Wound Dressing with Integrated Biosensors
Pasche S, Angeloni S, Ischer R, Liley M, Luprano J, Voirin G Wearable Biosensors for Monitoring Wound Healing
Marchand G, Bourgerette A, Antonakios M, Rat V, David N, Vinet F, Guillemaud R (2009) Development of a dehydration sensor integrated on fabric. In: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks. IEEE Computer Society, pp 230–233
Loi A, Manunza I, Bonfiglio A (2005) Flexible, organic, ion-sensitive field-effect transistor. Appl Phys Lett 86:103512
Klemm M, Troester G (2006) Textile UWB antennas for wireless body area networks. IEEE Transac Antenn Propag 54(11 Part 1):3192–3197
Staderini EM (2002) UWB radars in medicine. IEEE Aero Electron Syst Mag 17(1):13–18
Lin JC (1992) Microwave sensing of physiological movement and volume change: a review. Bioelectromagnetics 13:557–557
Droitcour AD, Boric-Lubecke O, Lubecke VM, Lin J, Kovacs GTA (2004) Range correlation and I/Q performance benefits in single-chip silicon Doppler radars for noncontact cardiopulmonary monitoring. IEEE Trans Microw Theor Tech 52(3):838–848
McEwan TE (1996) Body monitoring and imaging apparatus and method. US Patent 5573012
Immoreev IJ, Samkov SV (2002) Ultra-wideband (uwb) radar for remote measuring of main parameters of patients vital activity. Radio Phys Radio Astron 7(4):404–407
New public safety applications and broadband internet access among uses envisioned by fcc authorization of ultra-wideband technology. Federal Communications Law Journal (2002)
Zito D, Pepe D, Neri B, Zito F, De Rossi D, Lanatà A (2008) Feasibility study and de-sign of a wearable system-on-a-chip pulse radar for contact-less cardiopulmo-nary monitoring. Int J Telemed Appl 2008:10
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Scilingo, E.P., Lanatà, A., Tognetti, A. (2011). Sensors for Wearable Systems. In: Bonfiglio, A., De Rossi, D. (eds) Wearable Monitoring Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7384-9_1
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